Results 261 to 270 of about 185,542 (303)
Analysis techniques for microarray time-series data
Proceedings of the fifth annual international conference on Computational biology, 2001 We address possible limitations of publicly available data sets of yeast gene expression. We study the predictability of known regulators via time-series analysis, and show that less than 20% of known regulatory pairs exhibit strong correlations in the Cho/Spellman data sets.
Vladmir Filkov, Steven Skiena, Jizu Zhi
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Journal of Computational and Theoretical Nanoscience, 2005 Microarrays are among the most powerful tools in biological research, but in order to attain its full potentialities, it is imperative to develop techniques capable to effectively exploit the huge quantity of data which they produce. In this paper two machine learning methodologies for microarray data analysis are proposed: (1) Probabilistic Principal ...
Roberto Amato +9 more
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Spectral Estimation Techniques for DNA Sequence and Microarray Data Analysis
Current Bioinformatics, 2007 Spectral estimation techniques are widely used in modern signal processing systems. Recently, they have found important applications to the analysis of DNA data. In this paper, we review parametric and non-parametric spectral estimation methods for DNA sequence and microarray data analysis. The discrete Fourier transform (DFT) is the most commonly used
Hong Yan, Tuan Anh Pham
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Microarray and Single Cell Analysis Techniques in Bio-medical Fields
, 2007 Molecular diagnostic technologies will play a significant role in practice of medicine, public health and pharmaceutical industry. Together with genomics and proteomics techniques, the field of pharmacogenomics will develop, with the goal of personalization of diagnosis and therapy, for optimal efficiency and reduced toxicity, contributing to ...
Wilhelm Ansorge
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A Microarray Analysis Technique Using a Self-Organizing Multiagent Approach
2021Microarray technology is fully established among the research fields in genetic domain. Academia and industrial researchers investigate and analyze genes' expression to obtain more and more useful information about given organisms, with the aim to perform better disease diagnosis and prediction, accurate medical data analysis, etc.
Forestiero A +3 more
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A colon cancer microarray analysis technique
2017 E-Health and Bioengineering Conference (EHB), 2017Colon cancer is a very spread malady at international level, symptoms occurring due to a number of vary conditions that may be totally ignored in early stages. Moreover, even treated surgical or with chemotherapy, lots of patients occur recurrence at a specific period of time, so more validated findings in the microarray analysis field, should improve ...
Catalin Buiu, Irina-Oana Petre
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A Comparative Analysis Approach of Unsupervised Techniques to Explore Their Potentiality in Microarray Data [PDF]
2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA), 2020 Clustering is a very useful machine learning technique to find the underlying classification of unlabeled data. In computational biology, clustering techniques are extensively used to identify a group of biomolecules responsible for biological activity in animals.
Prasad Bandyopadhyay +2 more
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A novel tissue array technique for high-throughput tissue microarray analysis — microarray groups
In Vitro Cellular & Developmental Biology - Animal, 2007Tissue microarrays are ordered arrays of hundreds to thousands of tissue cores in a single paraffin block. We invented a novel method to make a high-throughput microarray group. Conventional smaller tissue microarrays were made first and then sectioned.
Hui-Yong Jiang +4 more
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A study on microarray image gridding techniques for DNA analysis
2014 2nd International Conference on Electronic Design (ICED), 2014Microarray is one of the most promising tools available for researchers in the life sciences to study gene expression profiles. Through microarray analysis, gene expression levels can be obtained, and the biological information of a disease can be identified. The gene expression information embedded in the microarray is extracted using image-processing
Maziidah Mukhtar Ahmad +2 more
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DataMining Techniques for Microarray Data Analysis
2011This chapter contains sections titled: Introduction Existing Tools Improved Tools Conclusions This chapter contains sections titled ...
Mehmed Kantardzic, Jozef Zurada
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